The HeartView software application is intended to provide an automated processing, review, quantification, and multidimensional review of nuclear medicine cardiology medical images, and specifically, radionuclides distributed in the body using planar and tomographic short axis images. HeartView may be used in various clinical settings including a hospital, clinic, imaging center, physician office, or remote locations. HeartView implements algorithms for automatic quantification of myocardial perfusion single photon emission computerized tomography (SPECT) as well as quantification of ejection fraction, wall motion, and thickening from gated myocardial perfusion SPECT images.
Device Story
HeartView is an internet-based application for processing and quantifying nuclear medicine cardiology images. Input consists of short axis slices reconstructed from raw gated and averaged SPECT datasets (rest and stress). The system processes datasets in 3D rather than individual slices, enforcing a constant mid-myocardium volume constraint across the heart cycle. Output includes 3D plots and quantitative metrics for cardiac function, such as ejection fraction, wall motion, wall thickening, transient ischemic dilation, and phase analysis. Used in hospitals, clinics, imaging centers, or remote locations by physicians to assist in clinical diagnostic assessments. The software provides automated analysis to support clinical decision-making regarding myocardial perfusion and cardiac performance.
Clinical Evidence
No clinical trials; performance supported by bench testing. Comparative performance testing conducted using anonymized patient imaging studies. Quantitative precision compared via statistical software and qualitative output compared via blinded independent cardiologist review. Results demonstrated the subject device is comparable to the predicate device in both quantitative and qualitative outputs.
Technological Characteristics
Internet-based software application. Implements 3D processing algorithms for SPECT data. Complies with NEMA PS 3.1-3.20 (DICOM) and ISO/IEC 10918-1 (JPEG) standards. Software level of concern: moderate.
Indications for Use
Indicated for nuclear medicine or radiology practitioners and referring physicians for automated processing, review, and quantification of nuclear medicine cardiology images (planar and tomographic short axis) to assess cardiac function, including systolic/diastolic function, wall thickening, wall motion, transient ischemic dilation, and phase analysis.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
Predicate Devices
Xeleris 3.1 Processing and Review Workstation (K130884)
Submission Summary (Full Text)
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Image /page/0/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo is a circular seal with the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged around the perimeter. Inside the circle is an abstract symbol that resembles an eagle or a stylized human figure in profile, composed of three overlapping shapes.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
November 25, 2015
Vidistar, LLC % Ms. Kathryn Becker Principal Translational Science Solutions, LLC 92 Hasell Street #401 CHARLESTON SC 29401
Re: K152822
Trade/Device Name: Vidistar HeartView Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communication system Regulatory Class: II Product Code: LLZ Dated: September 29, 2015 Received: September 30, 2015
Dear Ms. Becker:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education at its toll-free number (800) 638 2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours,
Robert Ocks
Robert Ochs. Ph.D. Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
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## Indications for Use
510(k) Number (if known) K152822
Device Name
VidiStar HeartView
#### Indications for Use (Describe)
The HeartView system is an internet-based application intended for use by nuclear medicine or ractitioners and referring physicians for the automated processing, review, quantification, and multidimensional review of nuclear medicine cardiology medical images, and specifically, radionuclides distributed in the body using planar and tomographic short axis images.
HeartView may be used in various clinical settings including a hospital, clinic, imaging center, physician office, or remote locations.
The HeartView system implements algorithms for automatic quantification of myocardial perfusion single photon emission computerized tomography (SPECT) as well as quantification, wall motion, and thickening from gated myocardial perfusion SPECT images.
Gated results are presented as 3D plots that can be used to depict, localize, and/or quantify the distribution of radionuclide tracers and anatomical structures in scanned body tissue for clinical diagnostic purposes, including quantitative assessments of cardiac function (e.g., systolic and diastolic function, regional wall thickening, wall motion, transient ischemic dilation, and phase analysis).
| Type of Use (Select one or both, as applicable) | |
|--------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------|
| <span style="font-size: 16px;">☑</span> Prescription Use (Part 21 CFR 801 Subpart D) | <span style="font-size: 16px;">☐</span> Over-The-Counter Use (21 CFR 801 Subpart C) |
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# 510(K) SUMMARY
| Submission Date: | September 24, 2015 |
|------------------------|-------------------------------------------------------------------------------------------------------------|
| Submitter Information: | |
| Submitted By: | VidiStar, LLC<br>PO Box 8539<br>Greenville, SC 29604 |
| Contact Person: | Craig Walker, MHA<br>Chief Executive Officer<br>VidiStar, LLC<br>Tel: (512) 797-1910<br>Fax: (864) 349-2169 |
| Email: | craig.walker@VidiStar.com |
| Device Information: | |
| Trade Name: | HeartView |
|----------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Common Name: | Nuclear Medicine Workstation |
| Classification Name: | System, Image Processing, Radiological<br>21 CFR 892.2050 |
| Regulatory Class: | Class II |
| Product Code: | LLZ |
| Predicate Device: | Xeleris 3.1 Processing and Review Workstation (K130884)<br>GE Healthcare<br>Class II (21 CFR 892.2050; Product Code LLZ) |
| Device Description: | The HeartView platform is a comprehensive internet-based<br>application designed to process, review, and automatically<br>perform quantitative analysis of cardiac nuclear medicine<br>procedures. HeartView implements algorithms for<br>automatic quantification of myocardial perfusion SPECT,<br>as well as quantification of ejection fraction, wall motion,<br>and thickening from gated myocardial perfusion SPECT.<br>The algorithm takes short axis slices reconstructed from<br>raw datasets of gated and averaged acquisitions in rest and<br>stress, and operates in multi-dimension (3D), rather than<br>processing individual slices separately. For gated datasets, |
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| | it processes the dataset as a whole rather than processing each frame separately, which adds additional knowledge to the algorithm for its computations, and allows enforcement of the constraint that the mid-myocardium volume is constant during the whole heart beat cycle. |
|----------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Intended Use: | The HeartView software application is intended to provide an automated processing, review, quantification, and multidimensional review of nuclear medicine cardiology medical images, and specifically, radionuclides distributed in the body using planar and tomographic short axis images. HeartView may be used in various clinical settings including a hospital, clinic, imaging center, physician office, or remote locations. HeartView implements algorithms for automatic quantification of myocardial perfusion single photon emission computerized tomography (SPECT) as well as quantification of ejection fraction, wall motion, and thickening from gated myocardial perfusion SPECT images. |
| Indications for Use: | The HeartView system is an internet-based application intended for use by nuclear medicine or radiology practitioners and referring physicians for the automated processing, review, quantification, and multidimensional review of nuclear medicine cardiology medical images, and specifically, radionuclides distributed in the body using planar and tomographic short axis images. |
| | HeartView may be used in various clinical settings including a hospital, clinic, imaging center, physician office, or remote locations. |
| | The HeartView system implements algorithms for automatic quantification of myocardial perfusion single photon emission computerized tomography (SPECT) as well as quantification of ejection fraction, wall motion, and thickening from gated myocardial perfusion SPECT images. |
| | Gated results are presented as 3D plots that can be used to depict, localize, and/or quantify the distribution of radionuclide tracers and anatomical structures in scanned body tissue for clinical diagnostic purposes, including quantitative assessments of cardiac function (e.g., systolic |
| | |
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### and diastolic function, regional wall thickening, wall motion, transient ischemic dilation, and phase analysis). Comparison to The device and the predicate device are both image Predicate Device post processing workstations devices that provide Technology: similar features of visualization and quantitative analysis and do not raise any new questions of safety or effectiveness. Performance Data: The following performance data were provided in support of the substantial equivalence determination: Software Verification and Software verification and validation testing were Validation Testing: conducted and documentation was provided as recommended by FDA's Guidance for Industry and FDA Staff, "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices." The software for this device was considered as a "moderate" level of concern, as a malfunction of, or a latent design flaw in, the software device could lead to an erroneous diagnosis or a delay in delivery of appropriate medical care that would likely lead to minor injury. Comparative performance testing was conducted to Comparative Testing: demonstrate that the subject device is equivalent to the predicate device for the review of nuclear studies in terms of quantitative (software-calculated values) and qualitative (subjective clinical reading) output. To support this performance claim, anonymized patient imaging studies were compared quantitatively (precision utilizing statistical software) and qualitatively (clinical review by a blinded independent cardiologist) . The subject device was found to be comparable to the predicate device in terms of qualitative and quantitative output. Additional Information: Performance Standards: The subject device is in compliance with the following voluntary performance and safety standards: . NEMA PS 3.1 - 3.20 (2011) Digital Imaging and Communications in Medicine (DICOM) Set ISO/IEC 10918-1 First edition 1994-02-15 Information . technology- Digital compression and coding of continuous-tone still images: Requirements and
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| | guidelines [including: Technical Corrigendum 1 (2005)] |
|------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Other Standards: | The present 510(k) was prepared in consideration of the following guidance documents: |
| | Guidance for the Submission of Premarket Notifications for Medical Image Management Devices (2000) Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices (2005) Content of Premarket Submissions for Management of Cybersecurity in Medical Devices (2014) |
| Conclusion: | Based on conformance to FDA recognized voluntary consensus standards, development under applicable FDA guidance, and the extensive product testing described within this 510(k) premarket notification, VidiStar provides evidence that its HeartView system is as safe and effective, and performs in a substantially equivalent manner to GE Healthcare's Xeleris 3.1 Processing and Review Workstation. |
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Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.